{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "discover vulnerability", "trigger": true, "arguments": ["supported platform", "vulnerability", "common vulnerabilities and exposures", "vulnerable system version", "time", "discoverer", "vulnerable system", "vulnerable system owner"]}, {"event_type": "data breach", "trigger": true, "arguments": ["attack pattern", "compromised data", "time", "purpose", "number of data", "attacker", "damage amount", "place"]}, {"event_type": "ransom", "trigger": true, "arguments": ["tool", "damage amount", "victim", "attacker", "payment method", "attack pattern", "price", "place", "time"]}, {"event_type": "phishing", "trigger": true, "arguments": ["place", "trusted entity", "tool", "damage amount", "victim", "attack pattern", "attacker", "purpose"]}], "input": "“ If the city had paid the ransom , I would have expected them to bring up systems more quickly than they have done , ” says Justin Cappos , a professor of computer science and engineering at New York University ’s Tandon School of Engineering ."}
{"discover vulnerability": [], "data breach": [], "ransom": [{"trigger": "had paid the ransom", "arguments": {"tool": "NAN", "damage amount": "NAN", "victim": "the city", "attacker": "NAN", "payment method": "NAN", "attack pattern": "NAN", "price": "NAN", "place": "NAN", "time": "NAN"}}], "phishing": []}